Information Extraction From Text Messages Using Natural Language Processing

In unstructured text, process of looking for patterns is called text mining. Finding particular elements in documents written in natural language is a related task of information extraction (IE). Text mining has grown as an importance in study field. It is discovery of the new and past undiscovered information by computers from a variety of hand-written sources automatically. We currently live in a time marked by extreme stress and mental illnesses. A greater number of people are committing suicide as a result of the excessive levels of stress and strain because they tend to increase the amount of people who exhibit risky inclinations. Family conflict, work dissatisfaction, health issues, etc. are common sources of stress. In the modern computing environment, people are pleased to express their opinions and sentiments on social media with friends and family members by using tools like electronic communication. The suitable text mining technique can increase efficiency and cut down on the time and effort needed to retrieve relevant information. The Natural Language Processing technique which is used to extract important information from text messages is briefly discussed and analyzed in this work.